In this paper we propose a solution that detects sentence boundary from speech transcript. First we train a pure lexical model with deep neural network, which takes word vectors as the only input feature. Then a simpl...
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ISBN:
(纸本)9781510833135
In this paper we propose a solution that detects sentence boundary from speech transcript. First we train a pure lexical model with deep neural network, which takes word vectors as the only input feature. Then a simple acoustic model is also prepared. Because the models work independently, they can be trained with different data. In next step, the posterior probabilities of both lexical and acoustic models will be involved in a heuristic 2-stage joint decision scheme to classify the sentence boundary positions. This approach ensures that the models can be updated or switched freely in actual use. Evaluation on TED Talks shows that the proposed lexical model can achieve good results: 75.5% accuracy on error-involved ASR transcripts and 82.4% on error-free manual references. The joint decision scheme can further improve the accuracy by 3 similar to 40% when acoustic data is available.
The proceedings contain 76 papers. The special focus in this conference is on vector and parallelprocessing. The topics include: Scalability and programmability of massively parallel processors;language constructs an...
ISBN:
(纸本)9783540584308
The proceedings contain 76 papers. The special focus in this conference is on vector and parallelprocessing. The topics include: Scalability and programmability of massively parallel processors;language constructs and runtime systems for compositional parallel programming;locality optimizations for parallel machines;performance oriented development of SPMD programs based on task structure specifications;monitoring for detecting bugs and blocking communication;minimizing the log size for execution replay of shared-memory programs;gold mine specification language for event-based monitoring;reduction in Pei;towards the synthesis of asynchronous concurrent programs;formal derivation of SIMD parallelism from non-linear recursive specifications;deriving efficient parallel implementations of algorithms operating on general sparse matrices using automatic program transformation;flexible program and architecture specification for massively parallel systems;systematic approach and software tool for systolic design;ADVISE agricultural developmental visualisation interactive software environment;efficient gram-Schmidt orthogonalisation on an array processor;parallel algorithm for inverting tridiagonal matrix on linear processor array;systolic algorithms for long integer GCD computation;parallelization of non-simultaneous iterative methods for systems of linear equations;hypercube implementation and performance analysis for extrapolation methods;an approach to machine-independent parallel programming;on logic program parallelisation strategies;paradigms admitting superunitary behaviour in parallel computation;parallel computation of modular multivariate polynomial resultants on a shared memory machine;parallel heap construction using multiple selection and engineering high quality parallel software using PARSE.
In this talk, we examine massively parallelprocessing (MPP) systems and their research, development, and application issues. We start with a classification of basic MPP models. Scalability attributes, programming req...
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We present here a package, ADVISE, which acts as a communication interface between the client, typically a graphics device, and the server, a computing resource such as a vector supercomputer, a parallel computer or s...
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A program originally developed to be executed on a CRAY vector computer was parallelized for the message passing parallel computer nCUBE2 and subsequently ported to the KSR1, which is a global shared memory parallel c...
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Software tools to aid the generation of parallel implementation from scalar code rely on very accurate dependence analysis. Conventional techniques produce dependence graphs which are unduly conservative and mean that...
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This paper considers the issue of dynamic task control in the context of a parallel Haskell implementation on the GRIP multiprocessor. For the first time, we report the effect of our task control strategies on task gr...
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Currently, many parallel algorithms are defined for shared- memory architectures. The prefered machine model for designing these algorithms is the PRAM. However, this model does not take into account properties of exi...
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The radiosity method models the interaction of light between diffuse reflecting surfaces, thereby accurately predicting global illumination effects. Due to the high computational effort to calculate the transfer of li...
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